A MicroSD card for OS image is a small memory card that's preloaded with an operating system image, such as Linux or Android. It's commonly used to boot up single-board computers and other embedded systems, enabling quick and easy deployment of the operating system. Available in various storage capacities to suit different needs.
The newest 3rd generation lineup to the UP Squared Pro series, the UP Squared Pro 7000 is powered by the Intel®Processor N50 Processor (formerly Alder Lake N).
The Edge2 Station adds 10/100M ethernet, a 3.5mm headphone jack, UART for debugging, external audio DAC, and more, to your Edge2 ARM PC by docking with pogo pads located on the underside of the device.
The Quad-core 64-bit Mini PC - RK3328 is a compact and powerful main board with a stable and reliable performance. It features a powerful hardware decoding capability, supports multiple operating systems, and comes with rich expansion interfaces, making it a cost-effective and durable solution for various applications.
The newest 3rd generation lineup to the UP Squared Pro series, the UP Squared Pro 7000 is powered by the Intel®Processor N97 Processor (formerly Alder Lake N).
The Khadas Edge2 IO Module is a GPIO break-out board for the Edge2 that expands the functions of Edge2 by connecting to the FPC connector on the underside. It incorporates a UHS-I SD card reader, a dual-channel infrared receiver, USB ports and more!
The Quad-Core High-Performance AI Mainboard - 3568J AIO-3568J is a versatile motherboard with a range of interfaces, suitable for use in various intelligent products. It features a quad-core processor, multiple interfaces, and is available in three configurations with varying RAM and storage capacities.
The newest 3rd generation lineup to the UP Squared Pro series, the UP Squared Pro 7000 is powered by the Intel Atom®x7425E Processor (formerly Alder Lake N).
Edge2's Active Cooling Kit = Edge Heatsink + 3705 Cooling Fan.
Note that the 3705 Cooling Fan cannot be mounted on an Edge1, because the wire is too short.
Equipped with a high-performance quad-core AI vision processor with built-in AI neural network acceleration NPU, the core board has capable computing power up to 2.0 Tops, which can achieve efficient face recognition and detection; it supports multi-channel
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